Senior / Principal Engineer (Image Processing, DL, CV)

Job Description:

• Design and development of robust, efficient and real-time algorithms for Analysis and Classification of Medical Images using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning.
• Development of innovative solutions for various problems related to Segmentation, Detection, classification and quantification of high resolution (~50K x 50K) coloured images for applications in Digital Pathology.
• Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of High resolution Images.
• To learn and update oneself on the emerging trends of technology and apply them in the projects for better results leading to publications and patents.
• Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography etc.
• Assign tasks to team members and monitor progress and performance management of the team members
• Lead module development, production support and maintenance activities
• Monitor, track and analyse module control metrics
• Work closely with data scientists and engineers to develop AI algorithms, models, and applications, ensuring they are scalable, efficient, and meet quality standards.
• Define and estimate technical solutions, document technical approach options and recommendations

Candidate Profile:

Academic background:

• PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background)
• B. Tech. / B.E. with exceptional academic/professional background

Experience (Industrial / R&D)

• 8+ years of experience

Specialization / Domain knowledge:

• Image Processing, Pattern Recognition, Computer Vision
• Machine Learning, Deep Learning
• Experience with Medical Image Processing is an added advantage

Technical

• Hands-on experience in developing and implementing Image Processing and Machine Learning algorithms
• Strong programming knowledge in any of C, C++, Python, JAVA etc.
• Hands-on experience in using Deep Learning frameworks and libraries
• Concepts of parallel architecture on GPU is an added advantage

Key Sills :

• Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, Image Processing, Neural Network

To know more about us, do visit us at

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